3d image processing using matlab

This article is the "Digital image processing principle and practice (MATLAB version)" A Book of code series PART8, the Book of the No. 375 to No. 415 page of the code, for the needs of readers to download research and use. At this point in the book code release is nearing the end, I hope that these sources can be useful to the readers. The results of the code ex

Hoops 3D application framework (hoops) is a high-level application framework built on graphics programming interfaces such as OpenGL and direct3d. It not only provides powerful graphics functions, but also incorporates polygon optimization and big model processing technologies to greatly improve the 3D visualization performance. At the same time, the hoops Develo

"Digital image processing principle and practice (MATLAB version)" A book Code PART5This article is the "Digital image processing principle and practice (MATLAB version)" A book Code series PART5. The code for the No. 225 to No. 2

hundred examples summarized by the author in practical teaching and scientific research work. It not only introduces the general usage of Matlab, including Common commands, syntax rules, matrix operations, mathematical functions, input and output of files, and drawing of 2D and 3D images, it also introduces the complicated graphic user interface and the compiling method of the callback functions of each sc

This article is the "Digital image processing principle and practice (MATLAB version)" A Book of Code series PART7 (due to the previous release order adjustment, readers should note the page callout and not only based on the title number of the series article), the book on the 186th to No. 225 page of the code, for the need for readers to download research use. A

' A and a ', i.e. sqrt (SUM (diag (a'*a )))2If A is a vector, norm (a,p) returns the P-norm of vector A. That is, return sum (ABS (A).^P) ^ (1/p), for any1∞.norm (a) returns the 2 norm of Vector A, which is equivalent to norm (A,2). Norm (A,inf) returns MAX (ABS (a)) norm (A,-inf) return min (ABS (A))8. Function handleFunction handle: Is the path that contains the function, the name of the function, the type, and the overloaded methods that may exist.The function handle must be created by a spe

RGB image R , g,b.%% RGB = Hsv2rgb (h,s,v) converts the HSV image h,s,v to the percent equivalent RGB image stored in the-Z array (RGB). Percent percent [r,g,b] = Hsv2rgb (HSV) converts the HSV image HSV (in array) to% the equivalent RGB image r,g,b.% see Alvy Ray S Mith

Previously, when we used MATLAB for image processing, we used the functions to check the functions. We never summarized them systematically, but we had to check them again. Therefore, it is necessary to summarize them ~For convenience, only the function names and basic usage are listed here. Unless otherwise specified, the parameters are not described in detail.

line vector is the number of rows of the array, and the second element is the number of columns of the array;2. [R,c]=size (A), when there are two output parameters, the size function returns the number of rows of the array to the first output variable, returning the number of columns of the array to the second output variable;3. If you add another item to the size function's input parameter and assign a value to the item with 1 or 2, size returns the number of rows or columns in the array. whe

Filtering is a common technique in image processing, which can sharpen image, blur image, remove noise, enhance image and so on. Only spatial filtering is spoken here, and the frequency domain filter will be spoken later.Spatial filtering : In simple terms, it is a template

This article is the "Digital image processing principle and practice (MATLAB version)" A Book of Code series PART3 (p81~135), code execution results please refer to the original book map, it is recommended to download the code before reading:About the principle and practice of Digital Image

create structural elements corresponding to a specified shape. The shape types include:Arbitrary pair diamond periodicline Disk rectangle line square OctagonThe parameters parameter generally controls the se size. Example: SE1 = strel ('square ', 6)% Create 6*6 squares Se2 = strel ('line', 10, 45)% Create line length 10, angle 45 Se3 = strel ('disk', 15)% Create disc radius 15 Se4 = strel ('ball', 15, 5)% Create an elliptical body with a radius of 15 and a height of 5 7. bwlabel Function L = bw

Digital Image Processing (MatLab) Reward score: 0- Solution time: Digital Image Processing (MatLab) Prepared by: gerazes Translator: Ma qiuqi Where can I download e-books?Questioner: zhoudj1983-assistant level 2 Best An

I was so weak that I thought that boundary processing could be well handled using the method I used in the previous article, and the results were not good. I just made a comparison with the standard imfilter function. In fact, imfilter function still has some parameters that I don't use, such as 'replicate' and 'initric '. If these parameters are added, my results are far less than those of

The use of MATLAB image of the fog operation, on-line search, this aspect of a lot of things, seems to have become a direction of research, Daniel!Here just give a code, can achieve the image of the fog operation, a detailed look at the back there is no time, want to study their own research.function darktest (filename)% shadow de-fog algorithm%filename------file

% the equivalent RGB image r,g,b.% see Alvy Ray S Mith, Color gamut Transform Pairs, SIGGRAPH ' 78.% Copyright 1984-2011 the MathWorks, inc. if Nargin = = 1 HSV colormap ThreeD = Ndims (hin) ==3; % determine if input includes a, array if threed, H = Hin (:,:, 1); s = Hin (:,:, 2); v = Hin (:,:, 3); else H = hin (:, 1); s = Hin (:, 2); v = Hin (:, 3); Endelseif Nargin = = 3 if ~isequal (size (hin), size (s), size (v)), error (Message (' MATLAB

noise image with the mean value 0, variance 1, and size m x n pixels can be generated. Use the following program to produce Gaussian noise of any mean and variance. a = 0;b = 0.08;n_gaussian = a + b .* randn(M,N); 2.3 Ruili Noise In contrast to Gaussian noise, the pattern is skewed to the right, which is useful for fitting some skewed histogram noise. The implementation of Ruili noise can be achieved by the mean noise. As shown below. The mean val

Homomorphic filtering:The generalized superposition principle is used to filter the homomorphic system. homomorphic filtering is an image processing method combining frequency filtering and gray-scale transformation, which relies on image illuminance/reflectivity model as the basis of frequency domain processing, and

The jpgimage is decoded in JPEG decoding. The decoded data is divided into three colors: RGB. The three colors (in hexadecimal format) are stored in red in three files. dat, green. dat, blue. dat; use MATLAB to restore the three-color data into an image. Here, only the red color is processed, and the other two colors are processed in a similar way. Here we decode a jpg